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November 8, 2025Open Access

Align to Structure: Aligning Large Language Models with Structural Information

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Authors

ZKZae Myung KimARAnand RamachandranFTFarideh Tavazoee

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Overview

This approach demonstrates that structural alignment improves coherence in long-form text generation using reinforcement learning.

Key Points

  • Structural alignment enhances long-form text generation by incorporating discourse frameworks, improving model outputs.
  • Reinforcement learning within a Proximal Policy Optimization framework guides LLMs towards coherent text.
  • Token-level rewards based on discourse distinctiveness lead to clearer and more organized outputs than standard models.
  • The method shows promise in essay generation and summarization, highlighting the need for structured approaches in LLMs.

Cite This Study

Kim et al. (2025) studied this question.

synapsesocial.com/papers/690e8b75a5b062d7a4e737echttps://doi.org/10.48550/arxiv.2504.03622
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